未完待续
基于Spring AI 1.1.0版本，实现三种MCP Server
引入依赖spring-ai-starter-mcp-server-webmvc
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.5.7</version>
</parent>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>1.1.0</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-mcp-server-webmvc</artifactId>
</dependency>
<!-- Lombok -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>21</source>
<target>21</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
</plugins>
</build>application.yml下配置server有关的配置
spring:
application:
name: spring-ai-mcp-server
ai:
mcp:
server:
name: spring-ai-mcp-server
version: 1.0.0
type: async
sse-endpoint: /sse
protocol: sse
server:
port: 8080编写工具方法，通过Tool注解声明为工具方法
package org.example.mcp.tools;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.tool.annotation.Tool;
import org.springframework.stereotype.Component;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
@Component
@Slf4j
public class DateTimeTool {
@Tool(description = "获取当前日期和时间(GMT+8)")
public String current() {
return LocalDateTime.now().format(DateTimeFormatter.ISO_DATE_TIME);
}
}
通过ToolCallbackProvider将工具类放入MCP Server
package org.example.config;
import org.example.mcp.tools.DateTimeTool;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.tool.method.MethodToolCallbackProvider;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class McpConfig {
@Bean
public ToolCallbackProvider provider(DateTimeTool dateTimeTool) {
return MethodToolCallbackProvider.builder().toolObjects(
dateTimeTool
).build();
}
}
集成MCP Server到Cherry Studio，配合大模型进行调用
当采用Streamable-HTTP协议时，将配置更改为这样即可，Cherry Studio配置也需要同步更改
spring:
application:
name: spring-ai-mcp-server
ai:
mcp:
server:
name: spring-ai-mcp-server
version: 1.0.0
type: async
protocol: streamable
streamable-http:
mcp-endpoint: /mcp-endpoint此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。